/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */

#pragma once
#include <string>
#include "lite/core/kernel.h"
#include "lite/operators/conv_transpose_op.h"

#include "lite/backends/fpga/KD/float16.hpp"
#include "lite/backends/fpga/KD/pes/transposed_conv_pe.hpp"

namespace paddle {
namespace lite {
namespace kernels {
namespace fpga {

using float16 = zynqmp::float16;

class Conv2DTransposeCompute
    : public KernelLite<TARGET(kFPGA), PRECISION(kFP16), DATALAYOUT(kNHWC)> {
 public:
  using param_t = operators::ConvParam;

  void PrepareForRun() override;

  void Run() override;

  ~Conv2DTransposeCompute() = default;

#ifdef LITE_WITH_PROFILE
  virtual void SetProfileRuntimeKernelInfo(
      paddle::lite::profile::OpCharacter* ch) {
    ch->kernel_func_name = kernel_func_name_;
  }
  std::string kernel_func_name_{"NotImplForConvTranspose"};
#endif

 private:
  zynqmp::TransposedConvPE transposed_conv_pe_;
  int workspace_size_{0};
};

}  // namespace fpga
}  // namespace kernels
}  // namespace lite
}  // namespace paddle
